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Glossary
Product concepts

What is Retention?

Retention is a metric that tracks the percentage of users who return to a product over a set period, such as weekly or monthly. It serves as a primary indicator of product-market fit by showing whether customers find enough value to keep using the software long-term. High retention rates suggest that a product has successfully integrated into a user's regular workflow.

When to use it

Teams should focus on retention when they need to validate that their product provides ongoing value rather than just capturing initial interest. It is a critical metric for identifying 'leaky bucket' problems where high acquisition costs are wasted because users do not stick around. Monitoring retention helps product managers understand which user cohorts are most successful and prioritize features that deepen engagement.

Example

A SaaS team specializing in marketing automation analyzes their Q1 cohort of 1,000 new signups and finds that only 400 are still active by the end of month three, resulting in a 40% 90-day retention rate. To improve this, the team identifies 'Campaign Templates' as a high-demand feature through their feedback portal. After implementing the templates, the Q3 cohort shows a 55% retention rate over the same period. This increase indicates that the new functionality successfully addressed a pain point that was previously causing users to leave.

How Planet Roadmap helps with Retention

Planet Roadmap’s public feedback portal and feature voting system allow teams to identify the specific improvements existing customers need to stay engaged. By closing the loop with a public roadmap and changelog, users see constant value delivery, which directly reinforces long-term retention.

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FAQ

How is retention different from churn?
Retention measures the percentage of users who stay, while churn measures the percentage of users who leave; they are inverse metrics that together provide a complete picture of customer stability.
Is retention considered a leading or lagging indicator?
Retention is typically a lagging indicator because it measures past behavior, although specific 'proxy metrics' such as daily or weekly active usage can serve as leading indicators for future retention trends.

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